code: def serialize_feature_columns(feature_columns):
      """Serializes a list of FeatureColumns.
  
      Returns a list of Keras-style config dicts that represent the input
      FeatureColumns and can be used with `deserialize_feature_columns` for
      reconstructing the original columns.
  
      Args:
        feature_columns: A list of FeatureColumns.
  
      Returns:
        Keras serialization for the list of FeatureColumns.
  
      Raises:
        ValueError if called with input that is not a list of FeatureColumns.
      """
      return [serialize_feature_column(fc) for fc in feature_columns]
  
file_path: tensorflow-upstream/tensorflow/python/feature_column/serialization.py
imports: import six
  from tensorflow.python.feature_column import feature_column_v2_types
  from tensorflow.python.ops import init_ops
  from tensorflow.python.util import deprecation
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util.tf_export import tf_export
  from tensorflow.tools.docs import doc_controls
label_desc: Use image node_id 3 for calling a global function with example usage: serialize_feature_columns(feature_columns) and returns: unknown